<div dir="ltr"><font face="verdana, sans-serif"><font style="margin:0px;padding:0px;border:0px;font-size:13px">Hi,</font><br style="font-size:13px"><br style="font-size:13px"><font style="margin:0px;padding:0px;border:0px;font-size:13px">I'm pleased to announce the availability of the second release candidate of Pandas 0.18.0.</font><br style="font-size:13px"><font style="margin:0px;padding:0px;border:0px;font-size:13px">Please try this RC and report any issues here: </font><a href="https://github.com/pydata/pandas/issues" rel="nofollow" target="_blank" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204);font-size:13px">Pandas Issues</a>. Compared to RC1, we have added</font><div><font face="verdana, sans-serif">updated </font><font face="monospace, monospace">read_sas</font><font face="verdana, sans-serif"> and fixed float indexing. </font><font style="font-family:verdana,sans-serif;margin:0px;padding:0px;border:0px;font-size:13px">We will be releasing officially very shortly.</font><div><font face="verdana, sans-serif"><br></font></div><div><font face="verdana, sans-serif">THIS IS NOT A PRODUCTION RELEASE</font></div><div><font face="verdana, sans-serif"><br></font></div><div><font face="verdana, sans-serif">This is a major release from 0.17.1 and includes a small number of API changes, several new features, enhancements, </font></div><div><font face="verdana, sans-serif">and performance improvements along with a large number of bug fixes. We recommend that all users upgrade to this version.</font><p style="margin:1em 0px;padding:0px;border:0px;font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="margin:0px;padding:0px;border:0px;font-family:verdana,sans-serif">Highlights include:</span><br></p><ul style=""><li style="font-family:verdana,sans-serif;font-size:13px;line-height:17px">pandas >= 0.18.0 will no longer support compatibility with Python version 2.6 <a href="https://github.com/pydata/pandas/issues/7718" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">GH7718</a> or version 3.3 <a href="https://github.com/pydata/pandas/issues/11273" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">GH11273</a></li><li style="font-family:Arial,Helvetica,sans-serif;font-size:13px;line-height:17px"><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px"><span style="margin:0px;padding:0px;border:0px;font-family:arial,sans-serif">Moving and expanding window functions are now methods on Series and DataFrame similar to </span></font><font face="monospace, monospace" style="margin:0px;padding:0px;border:0px">.groupby</font><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px"> like objects, see <a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-moments" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">here</a>.</font><br></li><li style="font-family:Arial,Helvetica,sans-serif;font-size:13px;line-height:17px"><span style="margin:0px;padding:0px;border:0px;font-family:verdana,sans-serif">Adding support for a </span><font face="monospace, monospace" style="margin:0px;padding:0px;border:0px">RangeIndex</font><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px"> as a specialized form of the </font><font face="monospace, monospace" style="margin:0px;padding:0px;border:0px">Int64Index</font><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px"> for memory savings, see <a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-rangeindex" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">here</a>.</font><br></li><li style="font-family:Arial,Helvetica,sans-serif;font-size:13px;line-height:17px"><span style="margin:0px;padding:0px;border:0px;font-family:verdana,sans-serif">API breaking </span><font face="monospace, monospace" style="margin:0px;padding:0px;border:0px">.resample</font><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px"> changes to make it more </font><font face="monospace, monospace" style="margin:0px;padding:0px;border:0px">.groupby</font><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px"> like, see <a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-breaking-resample" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">here</a></font></li><li style="font-family:Arial,Helvetica,sans-serif;font-size:13px;line-height:17px">Removal of support for positional indexing with floats, which was deprecated <span style="margin:0px;padding:0px;border:0px;font-family:arial,sans-serif">since 0.14.0. This will now raise a </span><font face="monospace, monospace" style="margin:0px;padding:0px;border:0px">TypeError</font><span style="margin:0px;padding:0px;border:0px;font-family:arial,sans-serif">,</span><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px"> see <a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-float-indexers" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">here</a></font></li><li style="font-family:Arial,Helvetica,sans-serif;font-size:13px;line-height:17px"><span style="margin:0px;padding:0px;border:0px;font-family:verdana,sans-serif">The </span><font face="monospace, monospace" style="margin:0px;padding:0px;border:0px">.to_xarray()</font><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px"> function has been added for compatibility with the <a href="http://xarray.pydata.org/en/stable/" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">xarray package</a> see <a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-xarray" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">here</a>.</font></li><li style=""><span style="line-height:17px"><font face="verdana, sans-serif">The </font><font face="monospace, monospace">read_sas()</font><font face="verdana, sans-serif"> function has been enhanced to read </font><font face="monospace, monospace">sas7bdat</font><font face="verdana, sans-serif"> files, see <a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-sas">here</a></font></span></li><li style="font-family:verdana,sans-serif;font-size:13px;line-height:17px">Addition of the <a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-extractall" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">.str.extractall() method</a>, and API changes to the the <a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-extract" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">.str.extract() method</a>, and the <a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html#whatsnew-0180-enhancements-strcat" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">.str.cat() method</a><br></li><li style="font-family:Arial,Helvetica,sans-serif;font-size:13px;line-height:17px"><font face="monospace, monospace" style="margin:0px;padding:0px;border:0px">pd.test()</font><span style="margin:0px;padding:0px;border:0px;font-family:verdana,sans-serif"> top-level nose test runner is available <a href="https://github.com/pydata/pandas/issues/4327" target="_blank" rel="nofollow" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">GH4327</a></span></li></ul><p style="margin:1em 0px;padding:0px;border:0px;font-family:Arial,Helvetica,sans-serif;font-size:13px"></p><p style="margin:1em 0px;padding:0px;border:0px;font-size:13px;font-family:verdana,sans-serif"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px">See the <a href="http://pandas-docs.github.io/pandas-docs-travis/whatsnew.html" rel="nofollow" target="_blank" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204)">Whatsnew</a> for much more information. </span></p><p style="margin:1em 0px;padding:0px;border:0px;font-size:13px;font-family:verdana,sans-serif"><span style="margin:0px;padding:0px;border:0px;line-height:19.5px">Best way to get this is to install via </span><a href="http://pandas-docs.github.io/pandas-docs-travis/install.html#installing-pandas-with-anaconda" rel="nofollow" target="_blank" style="margin:0px;padding:0px;border:0px;text-decoration:none;color:rgb(102,17,204);line-height:19.5px">conda</a><span style="margin:0px;padding:0px;border:0px;line-height:19.5px"> from our development channel. Builds for osx-64,linux-64,win-64 for Python 2.7 and Python 3.5 are all available.</span><br></p><p style="margin:1em 0px;padding:0px;border:0px;font-size:13px;font-family:verdana,sans-serif"><span style="margin:0px;padding:0px;border:0px;font-family:monospace,monospace;line-height:19.5px">conda install pandas=v0.18.0rc2 -c pandas</span><br></p><p style="margin:1em 0px;padding:0px;border:0px;font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="margin:0px;padding:0px;border:0px"><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px">Thanks to all who made this release happen. It is a very large release!</font></span></p><p style="margin:1em 0px;padding:0px;border:0px;font-family:Arial,Helvetica,sans-serif;font-size:13px"><span style="margin:0px;padding:0px;border:0px"><font face="verdana, sans-serif" style="margin:0px;padding:0px;border:0px">Je</font></span><span style="margin:0px;padding:0px;border:0px">ff</span></p></div></div></div>